Senior Data Scientist

How You'll Help Us Keep Climbing (Overview & Key Responsibilities)

Role Summary

Center of Excellence (COE) team seeks a Senior Data Scientist to take on developing data-driven solutions aimed at continually improving the customer experience. In this role you will be responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. This position requires strong analytical capabilities with a deep understanding of data modeling and design tools, while performing model monitoring and calibration. You will also work with business stakeholders and present analysis to these business users in a digestible way. This individual will also collaborate with other Data Scientists and COE team to develop advanced analytics for complex business

Key Responsibilities

• Responsible for the design, development, and monitoring of ML/AI models (e.g., forecasting, optimization, propensity models, etc.) that directly address the business requirements and drive measurable CX improvements
• Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues
• Demonstrates detailed understanding of data science techniques and machine learning algorithms, calibrating and enhancing existing models, and monitoring model performance
• Write clean, robust, modular Python code for developing ML models
• Leverage Gitlab to store, maintain, and collaborate on project code bases; conduct peer review code of fellow data scientists on the team
• Experience in running experiments applying ML techniques such as Causal ML for evaluating impact of events such as new product launches, failure events, customer pain points, etc.
• Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
• Presents analysis to business users in a digestible way
  
  

What You Need To Succeed (Minimum Qualifications)

• Bachelor's degree in data science, statistics, mathematics, computer science or engineering field
• 3+ years of relevant experience in data science/machine learning, working with traditional ML use-cases that use tabular data
• Hands-on experience in business case delivers with customer/consumer level data
• Knowledge and experience in implementing Causal ML for experimentation use-cases
• Strong grasp of core statistics concepts
• Thorough understanding of key machine learning algorithms (e.g., supervised and unsupervised learning techniques, while avoiding superficial application of algorithms)
• Expert proficiency in SQL and Python for data science/machine learning
• Proficiency in using code repository management applications (i.e., GitHub) for storing, maintaining, and collaborating with others on project code
• Experience in designing and implementing ML/AI models for cloud-based solutions on leading cloud providers (i.e., AWS, Azure, etc.)
• Embraces diverse people, thinking, and styles
• Consistently makes safety and security, of self and others, the priority
  
  

Behavioral Competencies

• Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
• Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively.
• Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
• Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends.
• Inquisitive to understand customer and business expectations while bringing more valuable contributions on technical solutions.
  
  

What Will Give You a Competitive Edge (Preferred Qualifications)

• Personal Git repository of ML projects executed on public datasets and/or leveraged in data science competitions
• Knowledge of additional machine learning areas such as Generative AI LLMs, RL, Optimization, etc.
• Knowledge of ML lifecycle management platforms such as ML Flow, AWS Sagemaker, etc.
• Knowledge of ML Ops activities
• Self-motivated and take pride in building great experiences for users, whether they are employees or customers
• Resourceful in finding the data and tools you need to get the job done
• Not afraid to ask for help when you need it, or help teammates when they need a boost
• Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience
  
  

About The Company

Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.

In 2024, Delta was recognized by Fortune with a No. 11 placement on Fortune's Top 50 Most Admired Companies list. The company's strong management and commitment to providing elevated experiences and premium products also secured a No. 1 ranking out of the eight airlines on the list. Delta landed on TIME's inaugural list of the World's Best Companies, coming in at No. 12 the only U.S. airline in the top 155. TIME's award is based on three criteria: employee satisfaction, revenue growth and sustainability.

Delta's people-first culture continues to be recognized, earning the airline a spot on Fortune's 100 Best Companies to Work For list for the fifth year. Delta is the only airline included on the 2024 list.

Additionally, Delta earned a coveted spot, on Fast Companys list of the Most Innovative Companies, climbing from its No. 8 spot in 2023 to No. 2 in the travel category. The airline was recognized for its Wi-Fi revolution that is working to ensure the future of travel is connected.

About The Delta Technology Hub (DTH), Bangalore

Delta has fast emerged as a customer-focused, innovation-led, technology-enabled business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a distributed team to create memorable experiences for customers.